Imagine what kind of art the famous Mexican artist Frida Kahlo would make if she were alive today. It is difficult for a human to create such art based on previous works of art, but not for artificial intelligence.
Carlos Paboujian, at VMLY&R Creative, a creative business company, created imaginative designs that capture the imagination of Frida Kahlo and presented them on clothing. Using AI-powered visualization tools like DALL.E 2 and Midjourney, he turned painter Frida Kahlo into a fashion designer. He conducted this fashion designer experiment on director Wes Anderson and produced a complete set of designer outfits that appeal to his creative nature.
However, this experiment has created a new debate: Is AI powerful enough to replace designers?
“AI will undoubtedly challenge and replace designers,” says Kenneth Cukier, editor of The Economist. This is because AI can speed up design operations and make more accurate predictions.
Datasets like DeepFashion have been available for more than half a decade. The database includes over 800,000 different fashion photographs with useful annotations, from well-crafted product images to real-world consumer photos. This helped the business to categorize clothing items and create computer-generated images of similar-looking products.
Experts say the first hurdle to bringing AI technology into designs is lack of technology. Before the advent of Generative Adversarial Networks (GANs), making realistic fashion shots was a difficult task due to the large amount of data in the photographs, experts say. Images are often high resolution, resulting in a large number of pixels. GANs have provided researchers with a viable means of generating and validating all of this information.
Fashion Design: Cake Walk
Looking at new developments in artificial intelligence, fashion designers are also trying to use the technology to predict new trends, bring sustainability and streamline supply chains, and solve other problems. What if artificial intelligence could do all these things without human intervention?
The sweatshirt, developed using artificial intelligence (AI) and manufactured by Hyundai Handsome, was launched in 2010. It attracted media attention in 2019. It was the first time a fashion company in Korea used AI to create clothes.
It was created by Designovel, a data-driven fashion IT startup. The company employs artificial intelligence to create fashion designs for Hyundai and other sports and fashion brands.
The tech company admits that it can struggle to come up with a design that looks just average, using unique ideas and superhuman processing capabilities.
However, in the past three years, AI technology has reached a level where it can create complex and unique designs.
The addition of DALL.E 2 and Midjourney made the process much easier. A text-to-image platform can create realistic images and art based on natural language description.
A creative, mysterious, intuitive, and enigmatic process in which the primary objective is to solve a difficult problem and develop or explore unique solutions can be solved with a simple statement.
The simplicity offered by these new AI-based platforms is a cause for concern for designers.
“Apparel brands are using technology to solve their various problems. Sooner or later they will implement the use of AI in design, which is a direct threat to the designers employed by them,” said Devanshu, co-founder and co-founder of TrendGully, a Dubai-based company that provides software support and research reports to fashion brands. .
This means that the jobs of designers employed by smaller brands may soon be in jeopardy.
Retailers see AI as an enabler.
The report, titled ‘Retail Superstars: How Unleashing AI Delivers a Multibillion-Dollar Opportunity’, surveyed 400 global retailers deploying AI use cases at varying levels of maturity – accounting for 23 percent of the global retail industry. by income.
The report found that more than a quarter (28%) of retailers are currently using AI. The study found a seven-fold increase in AI installations from 2017 (17%) and 2016 (4%).
So far, AI has fueled some job creation while causing negligible job losses. According to 71 percent of retailers, AI is now creating jobs, with more than two-thirds (68 percent) of jobs at a senior level (coordinator level or higher).
Retailers realize that the impact of AI has led to reduced customer complaints and increased revenue. Assessing the impact of AI on consumer relations and sales, they are now remarkably united.